Title: Semantic Automatic Error-Detecting for Chinese Text Based on Semantic Dependency Relationship
Abstract: Automatic error-detecting for Chinese text is one of the important issues in the field of Chinese Information Processing. The current study of text error-detecting focuses on words-level and syntactic-level, but semantic error-detecting has not got enough attention. For this reason, we studied semantic collocations of sentences, and built up a words dependency knowledge base; at meanwhile, combined with the description of concept of words in HowNet, we proposed a semantic error-detecting strategy for Chinese text. Experimental results show that this method has a better performance in semantic error-detecting.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 1
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